LALPulsar  6.1.0.1-89842e6
testHeterodyneSearch_flat_evidence_default Namespace Reference

Variables

bool doplot = True
 
int exit_code = 0
 
string execu = "./lalpulsar_parameter_estimation_nested"
 
string parfile
 
string parf = "test.par"
 
 f = open(parf, "w")
 
string datafile = "data.txt.gz"
 
int dlen = 1440
 
int dt = 600
 
float startgps = 900000000.0
 
float endgps = startgps + dt * (dlen - 1)
 
 ds = np.zeros((dlen, 3))
 
int noisesigma = 1e-24
 
float ulest = 10.8 * np.sqrt(noisesigma**2 / dlen)
 
 fmt
 
 h0uls = np.logspace(np.log10(5.0 * ulest), np.log10(500.0 * ulest), 6)
 
string dets = "H1"
 
int Nlive = 100
 
int Nmcmcinitial = 0
 
string outfile = "test.hdf"
 
string outfile_SNR = "test_SNR"
 
string outfile_Znoise = "test_Znoise"
 
list proposals = ["", "--ensembleWalk 1 --uniformprop 0"]
 
list labels = ["Default", "Walk"]
 
list pcolor = ["b", "r"]
 
list max_nsigma = [2.0, 3.0]
 
int Ntests = 15
 
 fig
 
 ax
 
 walltime = time.time()
 
list odds_prior = []
 
list std_odds_prior = []
 
list logpriors = []
 
string priorfile = "H0 uniform 0 %e\n" % h0ul
 
string priorf = "test.prior"
 
 logprior = -np.log(h0ul * np.pi * 2.0 * (np.pi / 2.0))
 
list hodds = []
 
 elapsed_walltime = time.time() - walltime
 
 flush
 
tuple commandline
 
 shell
 
 a = f["lalinference"]["lalinference_nest"]
 
 ns = np.array(odds_prior)
 
 p
 
 stdchi
 
 nsigma = np.abs(p - 1.0) / stdchi
 
 yerr
 
 label
 
 color
 

Variable Documentation

◆ doplot

bool testHeterodyneSearch_flat_evidence_default.doplot = True

◆ exit_code

int testHeterodyneSearch_flat_evidence_default.exit_code = 0

◆ execu

string testHeterodyneSearch_flat_evidence_default.execu = "./lalpulsar_parameter_estimation_nested"

◆ parfile

string testHeterodyneSearch_flat_evidence_default.parfile
Initial value:
1 = """\
2 PSRJ J0000+0000
3 RAJ 00:00:00.0
4 DECJ 00:00:00.0
5 F0 100
6 PEPOCH 54000"""

Definition at line 41 of file testHeterodyneSearch_flat_evidence_default.py.

◆ parf

string testHeterodyneSearch_flat_evidence_default.parf = "test.par"

◆ f

testHeterodyneSearch_flat_evidence_default.f = open(parf, "w")

◆ datafile

testHeterodyneSearch_flat_evidence_default.datafile = "data.txt.gz"

◆ dlen

int testHeterodyneSearch_flat_evidence_default.dlen = 1440

◆ dt

int testHeterodyneSearch_flat_evidence_default.dt = 600

◆ startgps

float testHeterodyneSearch_flat_evidence_default.startgps = 900000000.0

◆ endgps

float testHeterodyneSearch_flat_evidence_default.endgps = startgps + dt * (dlen - 1)

◆ ds

testHeterodyneSearch_flat_evidence_default.ds = np.zeros((dlen, 3))

◆ noisesigma

int testHeterodyneSearch_flat_evidence_default.noisesigma = 1e-24

◆ ulest

float testHeterodyneSearch_flat_evidence_default.ulest = 10.8 * np.sqrt(noisesigma**2 / dlen)

◆ fmt

testHeterodyneSearch_flat_evidence_default.fmt

◆ h0uls

testHeterodyneSearch_flat_evidence_default.h0uls = np.logspace(np.log10(5.0 * ulest), np.log10(500.0 * ulest), 6)

◆ dets

string testHeterodyneSearch_flat_evidence_default.dets = "H1"

◆ Nlive

int testHeterodyneSearch_flat_evidence_default.Nlive = 100

◆ Nmcmcinitial

int testHeterodyneSearch_flat_evidence_default.Nmcmcinitial = 0

◆ outfile

string testHeterodyneSearch_flat_evidence_default.outfile = "test.hdf"

◆ outfile_SNR

string testHeterodyneSearch_flat_evidence_default.outfile_SNR = "test_SNR"

◆ outfile_Znoise

string testHeterodyneSearch_flat_evidence_default.outfile_Znoise = "test_Znoise"

◆ proposals

list testHeterodyneSearch_flat_evidence_default.proposals = ["", "--ensembleWalk 1 --uniformprop 0"]

◆ labels

list testHeterodyneSearch_flat_evidence_default.labels = ["Default", "Walk"]

◆ pcolor

list testHeterodyneSearch_flat_evidence_default.pcolor = ["b", "r"]

◆ max_nsigma

list testHeterodyneSearch_flat_evidence_default.max_nsigma = [2.0, 3.0]

◆ Ntests

int testHeterodyneSearch_flat_evidence_default.Ntests = 15

◆ fig

testHeterodyneSearch_flat_evidence_default.fig

◆ ax

testHeterodyneSearch_flat_evidence_default.ax

◆ walltime

testHeterodyneSearch_flat_evidence_default.walltime = time.time()

◆ odds_prior

list testHeterodyneSearch_flat_evidence_default.odds_prior = []

◆ std_odds_prior

list testHeterodyneSearch_flat_evidence_default.std_odds_prior = []

◆ logpriors

list testHeterodyneSearch_flat_evidence_default.logpriors = []

◆ priorfile

string testHeterodyneSearch_flat_evidence_default.priorfile = "H0 uniform 0 %e\n" % h0ul

◆ priorf

string testHeterodyneSearch_flat_evidence_default.priorf = "test.prior"

◆ logprior

testHeterodyneSearch_flat_evidence_default.logprior = -np.log(h0ul * np.pi * 2.0 * (np.pi / 2.0))

◆ hodds

list testHeterodyneSearch_flat_evidence_default.hodds = []

◆ elapsed_walltime

testHeterodyneSearch_flat_evidence_default.elapsed_walltime = time.time() - walltime

◆ flush

testHeterodyneSearch_flat_evidence_default.flush

◆ commandline

testHeterodyneSearch_flat_evidence_default.commandline
Initial value:
1 = (
2  "%s --detectors %s --par-file %s --input-files %s --outfile %s --prior-file %s --Nlive %d --Nmcmcinitial %d %s"
3  % (
4  execu,
5  dets,
6  parf,
7  datafile,
8  outfile,
9  priorf,
10  Nlive,
11  Nmcmcinitial,
12  prop,
13  )
14  )

Definition at line 142 of file testHeterodyneSearch_flat_evidence_default.py.

◆ shell

testHeterodyneSearch_flat_evidence_default.shell

◆ a

testHeterodyneSearch_flat_evidence_default.a = f["lalinference"]["lalinference_nest"]

◆ ns

testHeterodyneSearch_flat_evidence_default.ns = np.array(odds_prior)

◆ p

testHeterodyneSearch_flat_evidence_default.p
Initial value:
1 = np.sum((ns - np.mean(ns)) ** 2 / np.array(std_odds_prior) ** 2) / float(
2  len(h0uls)
3  )

Definition at line 174 of file testHeterodyneSearch_flat_evidence_default.py.

◆ stdchi

testHeterodyneSearch_flat_evidence_default.stdchi
Initial value:
1 = np.sqrt(2.0 * float(len(h0uls))) / float(
2  len(h0uls)
3  )

Definition at line 177 of file testHeterodyneSearch_flat_evidence_default.py.

◆ nsigma

testHeterodyneSearch_flat_evidence_default.nsigma = np.abs(p - 1.0) / stdchi

◆ yerr

testHeterodyneSearch_flat_evidence_default.yerr

◆ label

testHeterodyneSearch_flat_evidence_default.label

◆ color

testHeterodyneSearch_flat_evidence_default.color